Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
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Papers (including subtopics)
Unsupervised Segmentation Incorporating Shape Prior via Generative Adversarial Networks
ICCV 2021
Unsupervised Self-Training for Sentiment Analysis of Code-Switched Data
NAACL 2021
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals
ICCV 2021
Unsupervised Sentence-embeddings by Manifold Approximation and Projection
EACL 2021
Unsupervised Skill Discovery with Bottleneck Option Learning
ICML 2021
Unsupervised Speech Recognition
NeurIPS 2021
Unsupervised Summarization for Chat Logs with Topic-Oriented Ranking and Context-Aware Auto-Encoders
AAAI 2021
Unsupervised Training of a DNN-Based Formant Tracker
Interspeech 2021
Unsupervised Translation of German–Lower Sorbian: Exploring Training and Novel Transfer Methods on a Low-Resource Language
EMNLP 2021
Unsupervised Video Representation Learning by Bidirectional Feature Prediction
WACV 2021
Unsupervised Vision-and-Language Pre-training Without Parallel Images and Captions
NAACL 2021
Unsupervised Visual Attention and Invariance for Reinforcement Learning
CVPR 2021
Unsupervised Visual Representation Learning by Tracking Patches in Video
CVPR 2021
Unsupervised Word Polysemy Quantification with Multiresolution Grids of Contextual Embeddings
EACL 2021
Untangling the Small Intestine in 3D cine-MRI using Deep Stochastic Tracking
MIDL 2021
Unveiling the Potential of Structure Preserving for Weakly Supervised Object Localization
CVPR 2021
UOR at SemEval-2021 Task 12: On Crowd Annotations; Learning with Disagreements to optimise crowd truth
SemEval 2021
UPB at SemEval-2021 Task 5: Virtual Adversarial Training for Toxic Spans Detection
SemEval 2021
UPB at SemEval-2021 Task 7: Adversarial Multi-Task Learning for Detecting and Rating Humor and Offense
SemEval 2021
UP-DETR: Unsupervised Pre-Training for Object Detection With Transformers
CVPR 2021
UPFlow: Upsampling Pyramid for Unsupervised Optical Flow Learning
CVPR 2021
Uplift Modeling with High Class Imbalance
ACML 2021
User Driven Model Adjustment via Boolean Rule Explanations
AAAI 2021
User Retention: A Causal Approach with Triple Task Modeling
IJCAI 2021
Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models
ACL 2021